Hui Cui
Orcid: 0000-0001-8224-4698Affiliations:
- La Trobe University, Department of Computer Science and Information Technology, Melbourne, Australia
- University of Sydney, Biomedical and Multimedia Information Technologies Research Group, BMIT, Camperdown, NSW, Australia
According to our database1,
Hui Cui
authored at least 65 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images.
IEEE Trans. Medical Imaging, August, 2024
Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction.
IEEE J. Biomed. Health Informatics, July, 2024
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation.
Expert Syst. Appl., March, 2024
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.
Bioinform., February, 2024
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs.
J. Chem. Inf. Model., 2024
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones.
CoRR, 2024
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images.
Comput. Biol. Medicine, 2024
2023
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.
J. Chem. Inf. Model., November, 2023
Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.
Comput. Biol. Medicine, September, 2023
Biomed. Signal Process. Control., September, 2023
Effects of physical walking on eyes-engaged target selection with ray-casting pointing in virtual reality.
Virtual Real., June, 2023
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.
Appl. Soft Comput., January, 2023
IEEE Trans. Vis. Comput. Graph., 2023
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction.
IEEE J. Biomed. Health Informatics, 2022
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes.
Knowl. Based Syst., 2022
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.
Comput. Methods Programs Biomed., 2022
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.
Briefings Bioinform., 2022
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
Briefings Bioinform., 2022
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.
Briefings Bioinform., 2022
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.
Briefings Bioinform., 2022
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.
Briefings Bioinform., 2022
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.
Briefings Bioinform., 2022
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.
Briefings Bioinform., 2022
DC<sup>2</sup>U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.
Medical Image Anal., 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network.
Knowl. Based Syst., 2021
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.
Expert Syst. Appl., 2021
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.
Briefings Bioinform., 2021
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
Briefings Bioinform., 2021
Appl. Soft Comput., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
MEAL: Meta enhanced Entropy-driven Adversarial Learning for Optic Disc and Cup Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks.
IEEE Computer Graphics and Applications, 2020
Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network.
Frontiers Inf. Technol. Electron. Eng., 2019
Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning.
Int. J. Neural Syst., 2019
2018
IEEE Trans. Fuzzy Syst., 2018
Comput. Methods Programs Biomed., 2018
Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Ischemic stroke clinical outcome prediction based on image signature selection from multimodality data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Structure and location preserving topological representation with applications on CT segmentation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
2016
Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint.
Int. J. Comput. Assist. Radiol. Surg., 2016
Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2014
Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Lung tumor segmentation and separation from PET volumes based on Tumor-Customized Downhill.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012